Note details

Build ANYTHING With AI Agents For FREE! (DeepSeek-R1 Beats ChatGPT)

BY xxkc0
June 8, 2025
Public
Private
6929 views

How to Build an AI Agent Without Coding

Introduction

  • Demonstration of an AI agent created in under 30 minutes without coding knowledge, for free.
  • The AI agent can automate tasks such as shopping on Amazon by logging in, searching for a product, adding it to the cart, and purchasing using stored payment information.
  • Potential uses include booking flights, recommending YouTube videos, etc.

Requirements and Setup

  1. Install Python

    • Install the latest version of Python on your system.
  2. Browser Use Technology

    • Use "Browser Use," a free open-source GitHub repository, to help create AI agents.
  3. Choosing a Language Model (LLM)

    • Options include Deep Seek, Gemini, GPT-40, etc.
    • Instructions on how to set up using Gemini for free.
  4. Installation Steps

    • Use Python's pip to install necessary libraries such as browser use and playwright.
    • Set up Web UI for interacting with the agent through a user-friendly interface.

Configuring and Running the AI Agent

  • UV Installation: A fast Python package manager required for setup.

  • Setting up Environment:

    • Activate the setup environment to run the AI agent projects.
  • Requirements Installation:

    • Install dependencies from requirements.txt for the project.
  • Run the Agent:

    • Use browser UI to describe the task and run the agent.
    • Example task: Searching Google and retrieving top URLs programmatically.

Using LLM Providers

  • Different LLM providers available like Chat GPT, Gemini, Deep Seek.
  • How to obtain and use an API key from LLM providers like Google AI Studio and Deep Seek.

Advanced Uses

  • Automate more complex tasks like placing Amazon orders.
  • Running local models using tools like oLama for efficient local processing.

Alternatives: N8n for Automation

  • Use N8n, a no-code platform to create and automate workflows.
  • Examples include setting up workflows to automate email responses.

Conclusion

  • Highlight the flexibility and power of creating AI agents using these methods.
  • Encouragement to explore and leverage these tools for various automation tasks without the need for coding skills.

This setup and methods provide a free, fast, and powerful way to build AI agents that can perform and automate numerous tasks, highlighting the impressive capabilities and future potential of AI agents.